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Movie Cover with Virile Turbo XL
virile-turbo-xl:v1.0
evevalentine2017
evevalentine2017
·
Jun 28
4
Input
prompt
Specify things to see in the output
indiana jones movie cover, indiana jones logo
negative_prompt
Specify things to not see in the output
(pubes:1), nsfw, unzipped pants, pants down, anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3465518389
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
0.55
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
DPM++ 2M Karras
samping_steps
Number of denoising steps
18
cfg_scale
Scale for classifier-free guidance
4.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/21b1c257c19d45cdbf795cd8ae8411cf/00000-3465518389.webp
https://files.tungsten.run/uploads/22645605aec649359ab3a60cdd60ec4f/00001-3465518390.webp
https://files.tungsten.run/uploads/ee0393e8f11443548f3a5e368147749f/00002-3465518391.webp
Finished in 45.5 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: indiana jones movie cover, indiana jones logo Full negative prompt: (pubes:1), nsfw, unzipped pants, pants down, anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:16, 1.02it/s] 11%|█ | 2/18 [00:01<00:15, 1.02it/s] 17%|█▋ | 3/18 [00:02<00:14, 1.01it/s] 22%|██▏ | 4/18 [00:03<00:13, 1.01it/s] 28%|██▊ | 5/18 [00:04<00:12, 1.00it/s] 33%|███▎ | 6/18 [00:05<00:11, 1.00it/s] 39%|███▉ | 7/18 [00:06<00:11, 1.00s/it] 44%|████▍ | 8/18 [00:07<00:10, 1.00s/it] 50%|█████ | 9/18 [00:08<00:09, 1.00s/it] 56%|█████▌ | 10/18 [00:09<00:08, 1.01s/it] 61%|██████ | 11/18 [00:11<00:07, 1.01s/it] 67%|██████▋ | 12/18 [00:12<00:06, 1.01s/it] 72%|███████▏ | 13/18 [00:13<00:05, 1.01s/it] 78%|███████▊ | 14/18 [00:14<00:04, 1.01s/it] 83%|████████▎ | 15/18 [00:15<00:03, 1.02s/it] 89%|████████▉ | 16/18 [00:16<00:02, 1.02s/it] 94%|█████████▍| 17/18 [00:17<00:01, 1.02s/it] 100%|██████████| 18/18 [00:18<00:00, 1.02s/it] 100%|██████████| 18/18 [00:18<00:00, 1.01s/it] Decoding latents in cuda:0... done in 1.76s Move latents to cpu... done in 0.02s 0: 640x480 2 faces, 159.6ms Speed: 2.7ms preprocess, 159.6ms inference, 32.8ms postprocess per image at shape (1, 3, 640, 480)
prompt
Specify things to see in the output
indiana jones movie cover, indiana jones logo
negative_prompt
Specify things to not see in the output
(pubes:1), nsfw, unzipped pants, pants down, anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3465518389
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
0.55
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
DPM++ 2M Karras
samping_steps
Number of denoising steps
18
cfg_scale
Scale for classifier-free guidance
4.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/21b1c257c19d45cdbf795cd8ae8411cf/00000-3465518389.webp
https://files.tungsten.run/uploads/22645605aec649359ab3a60cdd60ec4f/00001-3465518390.webp
https://files.tungsten.run/uploads/ee0393e8f11443548f3a5e368147749f/00002-3465518391.webp
Finished in 45.5 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: indiana jones movie cover, indiana jones logo Full negative prompt: (pubes:1), nsfw, unzipped pants, pants down, anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:16, 1.02it/s] 11%|█ | 2/18 [00:01<00:15, 1.02it/s] 17%|█▋ | 3/18 [00:02<00:14, 1.01it/s] 22%|██▏ | 4/18 [00:03<00:13, 1.01it/s] 28%|██▊ | 5/18 [00:04<00:12, 1.00it/s] 33%|███▎ | 6/18 [00:05<00:11, 1.00it/s] 39%|███▉ | 7/18 [00:06<00:11, 1.00s/it] 44%|████▍ | 8/18 [00:07<00:10, 1.00s/it] 50%|█████ | 9/18 [00:08<00:09, 1.00s/it] 56%|█████▌ | 10/18 [00:09<00:08, 1.01s/it] 61%|██████ | 11/18 [00:11<00:07, 1.01s/it] 67%|██████▋ | 12/18 [00:12<00:06, 1.01s/it] 72%|███████▏ | 13/18 [00:13<00:05, 1.01s/it] 78%|███████▊ | 14/18 [00:14<00:04, 1.01s/it] 83%|████████▎ | 15/18 [00:15<00:03, 1.02s/it] 89%|████████▉ | 16/18 [00:16<00:02, 1.02s/it] 94%|█████████▍| 17/18 [00:17<00:01, 1.02s/it] 100%|██████████| 18/18 [00:18<00:00, 1.02s/it] 100%|██████████| 18/18 [00:18<00:00, 1.01s/it] Decoding latents in cuda:0... done in 1.76s Move latents to cpu... done in 0.02s 0: 640x480 2 faces, 159.6ms Speed: 2.7ms preprocess, 159.6ms inference, 32.8ms postprocess per image at shape (1, 3, 640, 480)